Monitor, debug, and optimize AI models and LLM applications with tracing, evaluations, and drift detection.
Arize AI is an observability and evaluation platform built for ML models, LLM applications, and AI agents. It gives engineering teams full visibility into model performance through tracing, drift monitoring, and automated evaluations. With its open-source Phoenix tool and the commercial Arize AX platform, teams can debug issues, run prompt experiments, and catch problems before they affect users. Used by companies like PepsiCo, Tripadvisor, and Siemens, Arize supports the full lifecycle from development to production.
Arize AI is an observability and evaluation platform for ML models, LLM applications, and AI agents. It provides tracing, drift monitoring, automated evaluations, and prompt management tools that help engineering teams monitor, debug, and improve AI systems from development through production.
Arize offers a free plan with limited features, and its open-source Phoenix tool is completely free to self-host with no feature restrictions. Paid plans start at $50/month, with Enterprise pricing available by contacting their sales team.
Phoenix is Arize's open-source AI observability and evaluation tool. Built on OpenTelemetry, it provides tracing, evaluations, prompt management, and RAG analysis. You can run it locally, in a Jupyter notebook, in Docker, on Kubernetes, or use the hosted cloud version.
Arize supports a wide range of frameworks including LangChain, LangGraph, LlamaIndex, CrewAI, DSPy, OpenAI Agents SDK, Claude Agent SDK, Vercel AI SDK, and Mastra. It works with providers like OpenAI, Anthropic, Google GenAI, AWS Bedrock, OpenRouter, and LiteLLM.
Yes. Arize Phoenix is fully self-hostable using Docker or Kubernetes, and Arize AX also supports private cloud and on-premises deployments for enterprise customers who need to keep data within their own infrastructure.
Arize is used by companies including PepsiCo, Tripadvisor, GetYourGuide, Siemens, Handshake, and Adtalem, spanning industries from e-commerce and travel to consumer goods and education.
Arize supports binary classification, multi-class classification, regression, time-series forecasting, ranking, NLP, computer vision, and multi-modal models, in addition to LLM applications and multi-agent systems.
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